TY - GEN
T1 - Removing rolling shutter distortion using optical flow and RANSAC
AU - Jeong, Woo Jin
AU - Moon, Young Shik
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/3/23
Y1 - 2015/3/23
N2 - CMOS camera modules are used for smartphone. But CMOS camera modules have a problem of rolling shutter effect. In this paper, we propose an efficient method of removing the rolling shutter effect. We first compute the global motion vector by using the optical flow and the camera motion estimation algorithm. Then we estimate the velocity for each row of sensor array. Finally the distorted image is realigned. Experimental results show that the proposed method is more robust and faster than the previous method.
AB - CMOS camera modules are used for smartphone. But CMOS camera modules have a problem of rolling shutter effect. In this paper, we propose an efficient method of removing the rolling shutter effect. We first compute the global motion vector by using the optical flow and the camera motion estimation algorithm. Then we estimate the velocity for each row of sensor array. Finally the distorted image is realigned. Experimental results show that the proposed method is more robust and faster than the previous method.
UR - http://www.scopus.com/inward/record.url?scp=84936131809&partnerID=8YFLogxK
U2 - 10.1109/ICCE.2015.7066435
DO - 10.1109/ICCE.2015.7066435
M3 - Conference contribution
AN - SCOPUS:84936131809
T3 - 2015 IEEE International Conference on Consumer Electronics, ICCE 2015
SP - 337
EP - 338
BT - 2015 IEEE International Conference on Consumer Electronics, ICCE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Conference on Consumer Electronics, ICCE 2015
Y2 - 9 January 2015 through 12 January 2015
ER -